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A topology-based performance Evaluation for an adaptive tuning protocol for service and resource discovery in the Internet of Things

  • Jordan University of Science and Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

Service and resource discovery in the Internet of Things (IoT) is reflected by the way of IoT components is connected and distributed. In other words, the IoT protocols should consider the topology construction of the IoT components. This paper explores an extensive performance evaluation for a previously proposed Adaptive Fobonacci-basaed Tuning protocol (AFT) on different topologies. The performance is evaluated by using COOJA simulator for different types of topologies (Ellipse, Grid, Random and straight-line). The simulation results show that the AFT protocol is constantly accomplishes an ultimately increase in the energy saving of the resources, and outperforms the traditional counterpart by distinguished percentages for overall network lifetime under different topologies.

Original languageEnglish
Title of host publication2019 IEEE 9th Annual Computing and Communication Workshop and Conference, CCWC 2019
EditorsSatyajit Chakrabarti, Himadri Nath Saha
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages905-909
Number of pages5
ISBN (Electronic)9781728105543
DOIs
StatePublished - 12 Mar 2019
Externally publishedYes
Event9th IEEE Annual Computing and Communication Workshop and Conference, CCWC 2019 - Las Vegas, United States
Duration: 7 Jan 20199 Jan 2019

Publication series

Name2019 IEEE 9th Annual Computing and Communication Workshop and Conference, CCWC 2019

Conference

Conference9th IEEE Annual Computing and Communication Workshop and Conference, CCWC 2019
Country/TerritoryUnited States
CityLas Vegas
Period7/01/199/01/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • CoAP
  • Internet of Things (IoT)
  • Sensors
  • power consumption
  • topology-based and COOJA

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